“…Multiple rough clustering approaches have been considered in the literature [52,53,62,69,70,76,98], see also the section on clustering in the review by Bello and Falcon [6]. Nonetheless, the rough clustering model itself has been formalized by Lingras and Peters in [53], using the following three axioms: (RC1) Any instance x belongs to at most one lower approximation:…”
“…Multiple rough clustering approaches have been considered in the literature [52,53,62,69,70,76,98], see also the section on clustering in the review by Bello and Falcon [6]. Nonetheless, the rough clustering model itself has been formalized by Lingras and Peters in [53], using the following three axioms: (RC1) Any instance x belongs to at most one lower approximation:…”
“…And the goals are to improve the survival rate of nodes, save energy consumption and make the execution of UAVs tasks more flexible. Table 3 compares the application conditions of CHSA algorithm and other two mainstream algorithms, the ant colony algorithm and K-means algorithm.Although some algorithms have been improved based on the two algorithms [16] , [17] , the most common algorithms for cluster head selection without base station are ant colony algorithm and K-means algorithm [18] , and the comparison of these algorithms in node survival rate, energy consumption and other attributes are detailed in Section 5 , and will not be repeated here. …”
“…Add the sum of squares within the clusters of all clusters contained in the data set to get the sum of squares, as shown in the following formula 3 The smaller the total sum of squares, the more similar the samples in each cluster, the better the cluster effect [12]. When the total sum of squares (formula 4 ) .…”
The regional characteristics of middle-aged women in Xinjiang are obvious, and the phenomenon of incompatible clothing is prominent. In order to avoid the information loss of principal component analysis or factor analysis during body type classification, this study uses the LightGBM algorithm to establish a body type recognition model based on the results of K-Means clustering, and compares it with random forest and linear regression recognition models. It is found that the LightGBM model has the best body type recognition effect. it is good. Through correlation analysis and regression analysis, regression equations between variables are obtained. Based on the new cultural prototype, Liu Ruipu women’s clothing prototype, and Donghua prototype, a clothing prototype suitable for middle-aged women in Xinjiang is established. Through virtual fitting evaluation and actual fitting, the experimental prototypes established based on the Donghua prototype and the Liu Ruipu prototype can meet the needs of middle-aged women for the comfort and aesthetics of clothing. The experimental prototype established by the Donghua prototype has the best effect.
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